Features of the program
Discover China
Colorful cultural tour of Beijing, including visits to the Great Wall, Forbidden City, etc .
Learn MoreCutting Edge Subjects
Deep neural networks, Tensorflow, Natural Language Processing, Knowledge Graphs, etc.
Teaching Faculty
Leading professors in deep learning will teach you during the summer school.
Learn MoreGet an opportunity to meet deep learning experts
Prof. Wenguang Chen
Wenguang Chen is a professor in Department of Computer Science
and Technology, Tsinghua University. His research interest
is in parallel and distributed systems, programming model,
and mobile computing. He received the Bachelor’s and
Ph.D. degrees in computer science from Tsinghua University
in 1995 and 2000 respectively. Before joining Tsinghua
in 2003, he was the CTO of Opportunity International Inc.
He was appointed as the associate head of Department
of Computer Science and Technology from 2007 to 2014.
He has published over 50 papers in international conferences
and journals like Supercomputing, EuroSys, USENIX ATC,
OOPSLA, ICSE. He is a distinguished member and distinguished
speaker of CCF( China Computer Foundation). He is an
ACM member, vice chair of ACM China Council, and
Editor-in-Chief of Communications of ACM( China Edition).
He serves in the program committee of many conferences,
such as PLDI 2012,PPoPP 2013、2014, SC 2015, ASPLOS 2016,
CGO 2014,2016, IPDPS 2011, CCGrid 2014, ICPP 2009、2010、2011、
2015,APSYS 2011、2013、2015.He received the Distinguished
Young Scholar Award of Natural Science Foundation in 2015.
Dr. Peng Cui
Peng Cui is an Assistant Professor in Tsinghua University. He got his PhD degree from Tsinghua University in 2010. His research interests include network representation learning, social dynamics modeling and human behavioral modeling. He has published more than 60 papers in prestigious conferences and journals in data mining and multimedia. His recent research won the ICDM 2015 Best Student Paper Award, SIGKDD 2014 Best Paper Finalist, IEEE ICME 2014 Best Paper Award, ACM MM12 Grand Challenge Multimodal Award, and MMM13 Best Paper Award. He is the Area Chair of ICDM 2016, ACM MM 2014-2015, IEEE ICME 2014-2015, ICASSP 2013, Associate Editor of ACM TOMM, Elsevier Journal on Neurocomputing. He was the recipient of ACM China Rising Star Award in 2015.
Dr. Xiaolin Hu
Xiaolin Hu received the Ph.D. degree in automation and computer-aided engineering from The Chinese University of Hong Kong, Hong Kong, in 2007. He is currently an Associate Professor with the Department of Computer Science and Technology, Tsinghua University, Beijing, China. He is working in the interface between artificial intelligence and neuroscience. He has published over 50 papers in international journals and conferences including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Image Processing, IEEE Transactions on Cybernetics, PLoS ONE, Neural Computation, European Journal of Neuroscience, Journal of Neurophysiology, Frontiers in Human Neuroscience, CVPR, NIPS. He is an Associate Editor of the IEEE Transactions on Neural Networks and Learning Systems.
Dr. Minlie Huang
Dr. Minlie Huang now is an associate professor of Dept. of Computer Science and Technology, Tsinghua University. He received his PhD degree in 2006. He was awarded “Tsinghua Excellent Researcher Fellowship” in 2006 and was selected by “Beijing Century Young Elite Program” in 2013. His research interests include artificial intelligence, deep learning, natural language processing, sentiment understanding, and dialogue systems. He has published 40+ papers on premier conferences such as ACL, AAAI, IJCAI, EMNLP, COLING, KDD, ICDM, CIKM, and highly-impacted journals like Bioinformatics, Genome Biology, JAMIA etc. He served as area chairs for ACL 2016, EMNLP 2014, EMNLP 2011, and reviewers for ACL, IJCAI, AAAI, EACL, COLING, EMNLP, NAACL, CIKM, ICDM, SDM, and reviewers for TOIS, TKDE, TALIP, etc. As principle investigator, he had established many collaborations with industrial companies such as Samsung, Microsoft, HP, Fujitsu, Google, ExxonMobil, and Tencent.
Dr. Jia Jia
Dr. Jia Jia is an associate professor in Department of Computer Science and Technology, Tsinghua University. Her main research interest is social affective computing and human computer speech interaction. She is serving as the secretary-general of Professional Committee of Speech in Chinese Information Processing Society, and also the committee member of Multimedia Federation in China Society of Image and Graphic, the committee member of Multimedia Federation in CCF, and the member of the International Speech Communication Association (ISCA). She has been awarded ACM Multimedia Grand Challenge Prize and Scientific Progress Prizes from the National Ministry of Education . She has authored about 70 papers in leading conferences and journals including IEEE Transaction on Audio, Speech and Language Processing, IEEE Transaction on Multimedia, IEEE Transaction on Affective Computing, ACM Multimedia, AAAI, IJCAI, ICASSP, Interspeech,etc. She also has wide research collaborations with Siemens, MSRA, Huawei, Bosch, Sohu and Tencent, etc.
Dr. Zhiyuan Liu
Zhiyuan Liu is an assistant professor at the Department of Computer Science and Technology in Tsinghua University. He received his PhD degree in Computer Science from Tsinghua in 2011. His research interests include representation learning, knowledge graphs and social computation., and has published more than 30 papers in top-tier conferences and journals of AI and NLP, cited by more than one thousand times according to Google Scholar. He is a recipient of the Best PhD Thesis of Tsinghua University, the Best PhD Thesis of CAAI (Chinese Association for Artificial Intelligence), and Outstanding Post-Doctoral Fellow in Tsinghua University. He serves as Youth Associate Editor of Frontiers of Computer Science, PC members of ACL, IJCAI, AAAI, etc.
Dr. Huaping Liu
Huaping Liu is an associate professor in Department of Computer Science and Technology, Tsinghua University. He serves as Associate Editor of some journals including IEEE Robotics & Automation Letters, Neurocomputing, Cognitive Computation, and some conferences including ICRA and IROS. His research interests include robot perception and learning
Dr. Jun Zhu
Dr. Jun Zhu is an Associate Professor at the Department of
Computer Science and Technology in Tsinghua University
and an Adjunct Faculty at the Machine Learning Department
in Carnegie Mellon University. He received his Ph.D. in
Computer Science from Tsinghua in 2009. Before joining
Tsinghua in 2011, he did post-doctoral research at the
Machine Learning Department in Carnegie Mellon University.
His current work involves both the foundations of statistical
learning, including theory and algorithms for probabilistic
latent variable models, sparse learning in high dimensions,
Bayesian nonparametrics, and large-margin learning; and
the application of statistical learning in social network
analysis, data mining, and multi-media data analysis.
He has published over 60 peer-reviewed papers in
the prestigious conferences and journals, including ICML,
NIPS, KDD, JMLR, PAMI, etc. He is an associate editor for
IEEE Trans. on PAMI and Acta Automatica Sinica. He served
as area chair/senior PC for ICML (2014, 2015, 2016), NIPS
(2013, 2015), IJCAI (2013, 2015), UAI (2014, 2015), and
AAAI 2016. He was a local co-chair of ICML 2014. He is a
recipient of Microsoft Fellowship (2007), CCF Distinguished
PhD Thesis Award (2009), IEEE Intelligent Systems
"AI's 10 to Watch" Award (2013), NSFC Excellent Young
Scholar Award (2013), CCF Young Scientist Award (2013),
and CVIC SE Talents Award (2015). His work is supported
by the "221 Basic Research Plan for Young Talents" at Tsinghua.
